Dataset statistics
| Number of variables | 26 |
|---|---|
| Number of observations | 205 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 41.8 KiB |
| Average record size in memory | 208.6 B |
Variable types
| Numeric | 16 |
|---|---|
| Text | 1 |
| Categorical | 9 |
fueltype is highly imbalanced (53.9%) | Imbalance |
enginelocation is highly imbalanced (89.0%) | Imbalance |
cylindernumber is highly imbalanced (57.6%) | Imbalance |
car_ID is uniformly distributed | Uniform |
car_ID has unique values | Unique |
symboling has 67 (32.7%) zeros | Zeros |
Reproduction
| Analysis started | 2024-05-12 05:43:08.414684 |
|---|---|
| Analysis finished | 2024-05-12 05:44:23.079503 |
| Duration | 1 minute and 14.66 seconds |
| Software version | ydata-profiling v4.8.3 |
| Download configuration | config.json |
car_ID
Real number (ℝ)
UNIFORM UNIQUE
| Distinct | 205 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 103 |
| Minimum | 1 |
|---|---|
| Maximum | 205 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.7 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 11.2 |
| Q1 | 52 |
| median | 103 |
| Q3 | 154 |
| 95-th percentile | 194.8 |
| Maximum | 205 |
| Range | 204 |
| Interquartile range (IQR) | 102 |
Descriptive statistics
| Standard deviation | 59.322565 |
|---|---|
| Coefficient of variation (CV) | 0.57594723 |
| Kurtosis | -1.2 |
| Mean | 103 |
| Median Absolute Deviation (MAD) | 51 |
| Skewness | 0 |
| Sum | 21115 |
| Variance | 3519.1667 |
| Monotonicity | Strictly increasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1 | 1 | 0.5% |
| 142 | 1 | 0.5% |
| 132 | 1 | 0.5% |
| 133 | 1 | 0.5% |
| 134 | 1 | 0.5% |
| 135 | 1 | 0.5% |
| 136 | 1 | 0.5% |
| 137 | 1 | 0.5% |
| 138 | 1 | 0.5% |
| 139 | 1 | 0.5% |
| Other values (195) | 195 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 |
| Value | Count | Frequency (%) |
| 205 | 1 | |
| 204 | 1 | |
| 203 | 1 | |
| 202 | 1 | |
| 201 | 1 | |
| 200 | 1 | |
| 199 | 1 | |
| 198 | 1 | |
| 197 | 1 | |
| 196 | 1 |
symboling
Real number (ℝ)
ZEROS
| Distinct | 6 |
|---|---|
| Distinct (%) | 2.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.83414634 |
| Minimum | -2 |
|---|---|
| Maximum | 3 |
| Zeros | 67 |
| Zeros (%) | 32.7% |
| Negative | 25 |
| Negative (%) | 12.2% |
| Memory size | 1.7 KiB |
Quantile statistics
| Minimum | -2 |
|---|---|
| 5-th percentile | -1 |
| Q1 | 0 |
| median | 1 |
| Q3 | 2 |
| 95-th percentile | 3 |
| Maximum | 3 |
| Range | 5 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.2453068 |
|---|---|
| Coefficient of variation (CV) | 1.4929117 |
| Kurtosis | -0.67627136 |
| Mean | 0.83414634 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 0.21107227 |
| Sum | 171 |
| Variance | 1.5507891 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=6)
| Value | Count | Frequency (%) |
| 0 | 67 | |
| 1 | 54 | |
| 2 | 32 | |
| 3 | 27 | |
| -1 | 22 | 10.7% |
| -2 | 3 | 1.5% |
| Value | Count | Frequency (%) |
| -2 | 3 | 1.5% |
| -1 | 22 | 10.7% |
| 0 | 67 | |
| 1 | 54 | |
| 2 | 32 | |
| 3 | 27 |
| Value | Count | Frequency (%) |
| 3 | 27 | |
| 2 | 32 | |
| 1 | 54 | |
| 0 | 67 | |
| -1 | 22 | 10.7% |
| -2 | 3 | 1.5% |
CarName
Text
| Distinct | 147 |
|---|---|
| Distinct (%) | 71.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.7 KiB |
Length
| Max length | 31 |
|---|---|
| Median length | 24 |
| Mean length | 14.146341 |
| Min length | 6 |
Characters and Unicode
| Total characters | 2900 |
|---|---|
| Distinct characters | 46 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 109 ? |
|---|---|
| Unique (%) | 53.2% |
Sample
| 1st row | alfa-romero giulia |
|---|---|
| 2nd row | alfa-romero stelvio |
| 3rd row | alfa-romero Quadrifoglio |
| 4th row | audi 100 ls |
| 5th row | audi 100ls |
| Value | Count | Frequency (%) |
| toyota | 31 | 6.4% |
| nissan | 18 | 3.7% |
| mazda | 15 | 3.1% |
| mitsubishi | 13 | 2.7% |
| honda | 13 | 2.7% |
| corolla | 12 | 2.5% |
| subaru | 12 | 2.5% |
| peugeot | 11 | 2.3% |
| volvo | 11 | 2.3% |
| sw | 10 | 2.0% |
| Other values (167) | 342 |
Most occurring characters
| Value | Count | Frequency (%) |
| 285 | 9.8% | |
| a | 259 | 8.9% |
| o | 243 | 8.4% |
| t | 167 | 5.8% |
| e | 158 | 5.4% |
| s | 153 | 5.3% |
| i | 147 | 5.1% |
| l | 138 | 4.8% |
| r | 133 | 4.6% |
| c | 126 | 4.3% |
| Other values (36) | 1091 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 2900 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 285 | 9.8% | |
| a | 259 | 8.9% |
| o | 243 | 8.4% |
| t | 167 | 5.8% |
| e | 158 | 5.4% |
| s | 153 | 5.3% |
| i | 147 | 5.1% |
| l | 138 | 4.8% |
| r | 133 | 4.6% |
| c | 126 | 4.3% |
| Other values (36) | 1091 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 2900 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 285 | 9.8% | |
| a | 259 | 8.9% |
| o | 243 | 8.4% |
| t | 167 | 5.8% |
| e | 158 | 5.4% |
| s | 153 | 5.3% |
| i | 147 | 5.1% |
| l | 138 | 4.8% |
| r | 133 | 4.6% |
| c | 126 | 4.3% |
| Other values (36) | 1091 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 2900 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 285 | 9.8% | |
| a | 259 | 8.9% |
| o | 243 | 8.4% |
| t | 167 | 5.8% |
| e | 158 | 5.4% |
| s | 153 | 5.3% |
| i | 147 | 5.1% |
| l | 138 | 4.8% |
| r | 133 | 4.6% |
| c | 126 | 4.3% |
| Other values (36) | 1091 |
fueltype
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 1.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.7 KiB |
| gas | |
|---|---|
| diesel |
Length
| Max length | 6 |
|---|---|
| Median length | 3 |
| Mean length | 3.2926829 |
| Min length | 3 |
Characters and Unicode
| Total characters | 675 |
|---|---|
| Distinct characters | 7 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | gas |
|---|---|
| 2nd row | gas |
| 3rd row | gas |
| 4th row | gas |
| 5th row | gas |
Common Values
| Value | Count | Frequency (%) |
| gas | 185 | |
| diesel | 20 | 9.8% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| gas | 185 | |
| diesel | 20 | 9.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| s | 205 | |
| g | 185 | |
| a | 185 | |
| e | 40 | 5.9% |
| d | 20 | 3.0% |
| i | 20 | 3.0% |
| l | 20 | 3.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 675 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| s | 205 | |
| g | 185 | |
| a | 185 | |
| e | 40 | 5.9% |
| d | 20 | 3.0% |
| i | 20 | 3.0% |
| l | 20 | 3.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 675 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| s | 205 | |
| g | 185 | |
| a | 185 | |
| e | 40 | 5.9% |
| d | 20 | 3.0% |
| i | 20 | 3.0% |
| l | 20 | 3.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 675 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| s | 205 | |
| g | 185 | |
| a | 185 | |
| e | 40 | 5.9% |
| d | 20 | 3.0% |
| i | 20 | 3.0% |
| l | 20 | 3.0% |
aspiration
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 1.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.7 KiB |
| std | |
|---|---|
| turbo |
Length
| Max length | 5 |
|---|---|
| Median length | 3 |
| Mean length | 3.3609756 |
| Min length | 3 |
Characters and Unicode
| Total characters | 689 |
|---|---|
| Distinct characters | 7 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | std |
|---|---|
| 2nd row | std |
| 3rd row | std |
| 4th row | std |
| 5th row | std |
Common Values
| Value | Count | Frequency (%) |
| std | 168 | |
| turbo | 37 | 18.0% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| std | 168 | |
| turbo | 37 | 18.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| t | 205 | |
| s | 168 | |
| d | 168 | |
| u | 37 | 5.4% |
| r | 37 | 5.4% |
| b | 37 | 5.4% |
| o | 37 | 5.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 689 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| t | 205 | |
| s | 168 | |
| d | 168 | |
| u | 37 | 5.4% |
| r | 37 | 5.4% |
| b | 37 | 5.4% |
| o | 37 | 5.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 689 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| t | 205 | |
| s | 168 | |
| d | 168 | |
| u | 37 | 5.4% |
| r | 37 | 5.4% |
| b | 37 | 5.4% |
| o | 37 | 5.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 689 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| t | 205 | |
| s | 168 | |
| d | 168 | |
| u | 37 | 5.4% |
| r | 37 | 5.4% |
| b | 37 | 5.4% |
| o | 37 | 5.4% |
doornumber
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 1.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.7 KiB |
| four | |
|---|---|
| two |
Length
| Max length | 4 |
|---|---|
| Median length | 4 |
| Mean length | 3.5609756 |
| Min length | 3 |
Characters and Unicode
| Total characters | 730 |
|---|---|
| Distinct characters | 6 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | two |
|---|---|
| 2nd row | two |
| 3rd row | two |
| 4th row | four |
| 5th row | four |
Common Values
| Value | Count | Frequency (%) |
| four | 115 | |
| two | 90 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| four | 115 | |
| two | 90 |
Most occurring characters
| Value | Count | Frequency (%) |
| o | 205 | |
| f | 115 | |
| u | 115 | |
| r | 115 | |
| t | 90 | |
| w | 90 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 730 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| o | 205 | |
| f | 115 | |
| u | 115 | |
| r | 115 | |
| t | 90 | |
| w | 90 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 730 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| o | 205 | |
| f | 115 | |
| u | 115 | |
| r | 115 | |
| t | 90 | |
| w | 90 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 730 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| o | 205 | |
| f | 115 | |
| u | 115 | |
| r | 115 | |
| t | 90 | |
| w | 90 |
carbody
Categorical
| Distinct | 5 |
|---|---|
| Distinct (%) | 2.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.7 KiB |
| sedan | |
|---|---|
| hatchback | |
| wagon | |
| hardtop | 8 |
| convertible | 6 |
Length
| Max length | 11 |
|---|---|
| Median length | 5 |
| Mean length | 6.6195122 |
| Min length | 5 |
Characters and Unicode
| Total characters | 1357 |
|---|---|
| Distinct characters | 18 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | convertible |
|---|---|
| 2nd row | convertible |
| 3rd row | hatchback |
| 4th row | sedan |
| 5th row | sedan |
Common Values
| Value | Count | Frequency (%) |
| sedan | 96 | |
| hatchback | 70 | |
| wagon | 25 | 12.2% |
| hardtop | 8 | 3.9% |
| convertible | 6 | 2.9% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| sedan | 96 | |
| hatchback | 70 | |
| wagon | 25 | 12.2% |
| hardtop | 8 | 3.9% |
| convertible | 6 | 2.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 269 | |
| h | 148 | |
| c | 146 | |
| n | 127 | |
| e | 108 | |
| d | 104 | 7.7% |
| s | 96 | 7.1% |
| t | 84 | 6.2% |
| b | 76 | 5.6% |
| k | 70 | 5.2% |
| Other values (8) | 129 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 1357 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| a | 269 | |
| h | 148 | |
| c | 146 | |
| n | 127 | |
| e | 108 | |
| d | 104 | 7.7% |
| s | 96 | 7.1% |
| t | 84 | 6.2% |
| b | 76 | 5.6% |
| k | 70 | 5.2% |
| Other values (8) | 129 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 1357 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| a | 269 | |
| h | 148 | |
| c | 146 | |
| n | 127 | |
| e | 108 | |
| d | 104 | 7.7% |
| s | 96 | 7.1% |
| t | 84 | 6.2% |
| b | 76 | 5.6% |
| k | 70 | 5.2% |
| Other values (8) | 129 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 1357 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| a | 269 | |
| h | 148 | |
| c | 146 | |
| n | 127 | |
| e | 108 | |
| d | 104 | 7.7% |
| s | 96 | 7.1% |
| t | 84 | 6.2% |
| b | 76 | 5.6% |
| k | 70 | 5.2% |
| Other values (8) | 129 |
drivewheel
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | 1.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.7 KiB |
| fwd | |
|---|---|
| rwd | |
| 4wd | 9 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 615 |
|---|---|
| Distinct characters | 5 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | rwd |
|---|---|
| 2nd row | rwd |
| 3rd row | rwd |
| 4th row | fwd |
| 5th row | 4wd |
Common Values
| Value | Count | Frequency (%) |
| fwd | 120 | |
| rwd | 76 | |
| 4wd | 9 | 4.4% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| fwd | 120 | |
| rwd | 76 | |
| 4wd | 9 | 4.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| w | 205 | |
| d | 205 | |
| f | 120 | |
| r | 76 | 12.4% |
| 4 | 9 | 1.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 615 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| w | 205 | |
| d | 205 | |
| f | 120 | |
| r | 76 | 12.4% |
| 4 | 9 | 1.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 615 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| w | 205 | |
| d | 205 | |
| f | 120 | |
| r | 76 | 12.4% |
| 4 | 9 | 1.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 615 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| w | 205 | |
| d | 205 | |
| f | 120 | |
| r | 76 | 12.4% |
| 4 | 9 | 1.5% |
enginelocation
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | 1.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.7 KiB |
| front | |
|---|---|
| rear | 3 |
Length
| Max length | 5 |
|---|---|
| Median length | 5 |
| Mean length | 4.9853659 |
| Min length | 4 |
Characters and Unicode
| Total characters | 1022 |
|---|---|
| Distinct characters | 7 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | front |
|---|---|
| 2nd row | front |
| 3rd row | front |
| 4th row | front |
| 5th row | front |
Common Values
| Value | Count | Frequency (%) |
| front | 202 | |
| rear | 3 | 1.5% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| front | 202 | |
| rear | 3 | 1.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| r | 208 | |
| f | 202 | |
| o | 202 | |
| n | 202 | |
| t | 202 | |
| e | 3 | 0.3% |
| a | 3 | 0.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 1022 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| r | 208 | |
| f | 202 | |
| o | 202 | |
| n | 202 | |
| t | 202 | |
| e | 3 | 0.3% |
| a | 3 | 0.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 1022 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| r | 208 | |
| f | 202 | |
| o | 202 | |
| n | 202 | |
| t | 202 | |
| e | 3 | 0.3% |
| a | 3 | 0.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 1022 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| r | 208 | |
| f | 202 | |
| o | 202 | |
| n | 202 | |
| t | 202 | |
| e | 3 | 0.3% |
| a | 3 | 0.3% |
wheelbase
Real number (ℝ)
| Distinct | 53 |
|---|---|
| Distinct (%) | 25.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 98.756585 |
| Minimum | 86.6 |
|---|---|
| Maximum | 120.9 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.7 KiB |
Quantile statistics
| Minimum | 86.6 |
|---|---|
| 5-th percentile | 93.02 |
| Q1 | 94.5 |
| median | 97 |
| Q3 | 102.4 |
| 95-th percentile | 110 |
| Maximum | 120.9 |
| Range | 34.3 |
| Interquartile range (IQR) | 7.9 |
Descriptive statistics
| Standard deviation | 6.0217757 |
|---|---|
| Coefficient of variation (CV) | 0.060975941 |
| Kurtosis | 1.0170389 |
| Mean | 98.756585 |
| Median Absolute Deviation (MAD) | 2.7 |
| Skewness | 1.0502138 |
| Sum | 20245.1 |
| Variance | 36.261782 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 94.5 | 21 | 10.2% |
| 93.7 | 20 | 9.8% |
| 95.7 | 13 | 6.3% |
| 96.5 | 8 | 3.9% |
| 97.3 | 7 | 3.4% |
| 98.4 | 7 | 3.4% |
| 104.3 | 6 | 2.9% |
| 100.4 | 6 | 2.9% |
| 107.9 | 6 | 2.9% |
| 98.8 | 6 | 2.9% |
| Other values (43) | 105 |
| Value | Count | Frequency (%) |
| 86.6 | 2 | 1.0% |
| 88.4 | 1 | 0.5% |
| 88.6 | 2 | 1.0% |
| 89.5 | 3 | 1.5% |
| 91.3 | 2 | 1.0% |
| 93 | 1 | 0.5% |
| 93.1 | 5 | 2.4% |
| 93.3 | 1 | 0.5% |
| 93.7 | 20 | |
| 94.3 | 1 | 0.5% |
| Value | Count | Frequency (%) |
| 120.9 | 1 | 0.5% |
| 115.6 | 2 | 1.0% |
| 114.2 | 4 | |
| 113 | 2 | 1.0% |
| 112 | 1 | 0.5% |
| 110 | 3 | |
| 109.1 | 5 | |
| 108 | 1 | 0.5% |
| 107.9 | 6 | |
| 106.7 | 1 | 0.5% |
carlength
Real number (ℝ)
| Distinct | 75 |
|---|---|
| Distinct (%) | 36.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 174.04927 |
| Minimum | 141.1 |
|---|---|
| Maximum | 208.1 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.7 KiB |
Quantile statistics
| Minimum | 141.1 |
|---|---|
| 5-th percentile | 157.14 |
| Q1 | 166.3 |
| median | 173.2 |
| Q3 | 183.1 |
| 95-th percentile | 196.36 |
| Maximum | 208.1 |
| Range | 67 |
| Interquartile range (IQR) | 16.8 |
Descriptive statistics
| Standard deviation | 12.337289 |
|---|---|
| Coefficient of variation (CV) | 0.070883886 |
| Kurtosis | -0.082894853 |
| Mean | 174.04927 |
| Median Absolute Deviation (MAD) | 6.9 |
| Skewness | 0.15595377 |
| Sum | 35680.1 |
| Variance | 152.20869 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 157.3 | 15 | 7.3% |
| 188.8 | 11 | 5.4% |
| 171.7 | 7 | 3.4% |
| 186.7 | 7 | 3.4% |
| 166.3 | 7 | 3.4% |
| 165.3 | 6 | 2.9% |
| 177.8 | 6 | 2.9% |
| 176.2 | 6 | 2.9% |
| 186.6 | 6 | 2.9% |
| 172 | 5 | 2.4% |
| Other values (65) | 129 |
| Value | Count | Frequency (%) |
| 141.1 | 1 | 0.5% |
| 144.6 | 2 | 1.0% |
| 150 | 3 | 1.5% |
| 155.9 | 3 | 1.5% |
| 156.9 | 1 | 0.5% |
| 157.1 | 1 | 0.5% |
| 157.3 | 15 | |
| 157.9 | 1 | 0.5% |
| 158.7 | 3 | 1.5% |
| 158.8 | 1 | 0.5% |
| Value | Count | Frequency (%) |
| 208.1 | 1 | 0.5% |
| 202.6 | 2 | |
| 199.6 | 2 | |
| 199.2 | 1 | 0.5% |
| 198.9 | 4 | |
| 197 | 1 | 0.5% |
| 193.8 | 1 | 0.5% |
| 192.7 | 3 | |
| 191.7 | 1 | 0.5% |
| 190.9 | 2 |
carwidth
Real number (ℝ)
| Distinct | 44 |
|---|---|
| Distinct (%) | 21.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 65.907805 |
| Minimum | 60.3 |
|---|---|
| Maximum | 72.3 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.7 KiB |
Quantile statistics
| Minimum | 60.3 |
|---|---|
| 5-th percentile | 63.6 |
| Q1 | 64.1 |
| median | 65.5 |
| Q3 | 66.9 |
| 95-th percentile | 70.46 |
| Maximum | 72.3 |
| Range | 12 |
| Interquartile range (IQR) | 2.8 |
Descriptive statistics
| Standard deviation | 2.1452039 |
|---|---|
| Coefficient of variation (CV) | 0.032548556 |
| Kurtosis | 0.70276424 |
| Mean | 65.907805 |
| Median Absolute Deviation (MAD) | 1.4 |
| Skewness | 0.9040035 |
| Sum | 13511.1 |
| Variance | 4.6018996 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=44)
| Value | Count | Frequency (%) |
| 63.8 | 24 | 11.7% |
| 66.5 | 23 | 11.2% |
| 65.4 | 15 | 7.3% |
| 63.6 | 11 | 5.4% |
| 64.4 | 10 | 4.9% |
| 68.4 | 10 | 4.9% |
| 64 | 9 | 4.4% |
| 65.5 | 8 | 3.9% |
| 65.2 | 7 | 3.4% |
| 64.2 | 6 | 2.9% |
| Other values (34) | 82 |
| Value | Count | Frequency (%) |
| 60.3 | 1 | 0.5% |
| 61.8 | 1 | 0.5% |
| 62.5 | 1 | 0.5% |
| 63.4 | 1 | 0.5% |
| 63.6 | 11 | |
| 63.8 | 24 | |
| 63.9 | 3 | 1.5% |
| 64 | 9 | 4.4% |
| 64.1 | 2 | 1.0% |
| 64.2 | 6 | 2.9% |
| Value | Count | Frequency (%) |
| 72.3 | 1 | 0.5% |
| 72 | 1 | 0.5% |
| 71.7 | 3 | |
| 71.4 | 3 | |
| 70.9 | 1 | 0.5% |
| 70.6 | 1 | 0.5% |
| 70.5 | 1 | 0.5% |
| 70.3 | 3 | |
| 69.6 | 2 | |
| 68.9 | 4 |
carheight
Real number (ℝ)
| Distinct | 49 |
|---|---|
| Distinct (%) | 23.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 53.724878 |
| Minimum | 47.8 |
|---|---|
| Maximum | 59.8 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.7 KiB |
Quantile statistics
| Minimum | 47.8 |
|---|---|
| 5-th percentile | 49.7 |
| Q1 | 52 |
| median | 54.1 |
| Q3 | 55.5 |
| 95-th percentile | 57.5 |
| Maximum | 59.8 |
| Range | 12 |
| Interquartile range (IQR) | 3.5 |
Descriptive statistics
| Standard deviation | 2.443522 |
|---|---|
| Coefficient of variation (CV) | 0.045482132 |
| Kurtosis | -0.44381237 |
| Mean | 53.724878 |
| Median Absolute Deviation (MAD) | 1.6 |
| Skewness | 0.063122732 |
| Sum | 11013.6 |
| Variance | 5.9707996 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=49)
| Value | Count | Frequency (%) |
| 50.8 | 14 | 6.8% |
| 52 | 12 | 5.9% |
| 55.7 | 12 | 5.9% |
| 54.1 | 10 | 4.9% |
| 54.5 | 10 | 4.9% |
| 55.5 | 9 | 4.4% |
| 56.7 | 8 | 3.9% |
| 54.3 | 8 | 3.9% |
| 52.6 | 7 | 3.4% |
| 56.1 | 7 | 3.4% |
| Other values (39) | 108 |
| Value | Count | Frequency (%) |
| 47.8 | 1 | 0.5% |
| 48.8 | 2 | 1.0% |
| 49.4 | 2 | 1.0% |
| 49.6 | 4 | 2.0% |
| 49.7 | 3 | 1.5% |
| 50.2 | 6 | |
| 50.5 | 2 | 1.0% |
| 50.6 | 5 | 2.4% |
| 50.8 | 14 | |
| 51 | 1 | 0.5% |
| Value | Count | Frequency (%) |
| 59.8 | 2 | 1.0% |
| 59.1 | 3 | 1.5% |
| 58.7 | 4 | |
| 58.3 | 1 | 0.5% |
| 57.5 | 3 | 1.5% |
| 56.7 | 8 | |
| 56.5 | 2 | 1.0% |
| 56.3 | 2 | 1.0% |
| 56.2 | 3 | 1.5% |
| 56.1 | 7 |
curbweight
Real number (ℝ)
| Distinct | 171 |
|---|---|
| Distinct (%) | 83.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2555.5659 |
| Minimum | 1488 |
|---|---|
| Maximum | 4066 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.7 KiB |
Quantile statistics
| Minimum | 1488 |
|---|---|
| 5-th percentile | 1901 |
| Q1 | 2145 |
| median | 2414 |
| Q3 | 2935 |
| 95-th percentile | 3503 |
| Maximum | 4066 |
| Range | 2578 |
| Interquartile range (IQR) | 790 |
Descriptive statistics
| Standard deviation | 520.6802 |
|---|---|
| Coefficient of variation (CV) | 0.20374361 |
| Kurtosis | -0.042853766 |
| Mean | 2555.5659 |
| Median Absolute Deviation (MAD) | 386 |
| Skewness | 0.68139819 |
| Sum | 523891 |
| Variance | 271107.87 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 2385 | 4 | 2.0% |
| 1918 | 3 | 1.5% |
| 2275 | 3 | 1.5% |
| 1989 | 3 | 1.5% |
| 2410 | 2 | 1.0% |
| 2191 | 2 | 1.0% |
| 2535 | 2 | 1.0% |
| 2024 | 2 | 1.0% |
| 2414 | 2 | 1.0% |
| 4066 | 2 | 1.0% |
| Other values (161) | 180 |
| Value | Count | Frequency (%) |
| 1488 | 1 | |
| 1713 | 1 | |
| 1819 | 1 | |
| 1837 | 1 | |
| 1874 | 2 | |
| 1876 | 2 | |
| 1889 | 1 | |
| 1890 | 1 | |
| 1900 | 1 | |
| 1905 | 1 |
| Value | Count | Frequency (%) |
| 4066 | 2 | |
| 3950 | 1 | |
| 3900 | 1 | |
| 3770 | 1 | |
| 3750 | 1 | |
| 3740 | 1 | |
| 3715 | 1 | |
| 3685 | 1 | |
| 3515 | 1 | |
| 3505 | 1 |
enginetype
Categorical
| Distinct | 7 |
|---|---|
| Distinct (%) | 3.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.7 KiB |
| ohc | |
|---|---|
| ohcf | |
| ohcv | 13 |
| dohc | 12 |
| l | 12 |
| Other values (2) | 5 |
Length
| Max length | 5 |
|---|---|
| Median length | 3 |
| Mean length | 3.1268293 |
| Min length | 1 |
Characters and Unicode
| Total characters | 641 |
|---|---|
| Distinct characters | 9 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 0.5% |
Sample
| 1st row | dohc |
|---|---|
| 2nd row | dohc |
| 3rd row | ohcv |
| 4th row | ohc |
| 5th row | ohc |
Common Values
| Value | Count | Frequency (%) |
| ohc | 148 | |
| ohcf | 15 | 7.3% |
| ohcv | 13 | 6.3% |
| dohc | 12 | 5.9% |
| l | 12 | 5.9% |
| rotor | 4 | 2.0% |
| dohcv | 1 | 0.5% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| ohc | 148 | |
| ohcf | 15 | 7.3% |
| ohcv | 13 | 6.3% |
| dohc | 12 | 5.9% |
| l | 12 | 5.9% |
| rotor | 4 | 2.0% |
| dohcv | 1 | 0.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| o | 197 | |
| h | 189 | |
| c | 189 | |
| f | 15 | 2.3% |
| v | 14 | 2.2% |
| d | 13 | 2.0% |
| l | 12 | 1.9% |
| r | 8 | 1.2% |
| t | 4 | 0.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 641 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| o | 197 | |
| h | 189 | |
| c | 189 | |
| f | 15 | 2.3% |
| v | 14 | 2.2% |
| d | 13 | 2.0% |
| l | 12 | 1.9% |
| r | 8 | 1.2% |
| t | 4 | 0.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 641 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| o | 197 | |
| h | 189 | |
| c | 189 | |
| f | 15 | 2.3% |
| v | 14 | 2.2% |
| d | 13 | 2.0% |
| l | 12 | 1.9% |
| r | 8 | 1.2% |
| t | 4 | 0.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 641 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| o | 197 | |
| h | 189 | |
| c | 189 | |
| f | 15 | 2.3% |
| v | 14 | 2.2% |
| d | 13 | 2.0% |
| l | 12 | 1.9% |
| r | 8 | 1.2% |
| t | 4 | 0.6% |
cylindernumber
Categorical
IMBALANCE
| Distinct | 7 |
|---|---|
| Distinct (%) | 3.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.7 KiB |
| four | |
|---|---|
| six | |
| five | 11 |
| eight | 5 |
| two | 4 |
| Other values (2) | 2 |
Length
| Max length | 6 |
|---|---|
| Median length | 4 |
| Mean length | 3.902439 |
| Min length | 3 |
Characters and Unicode
| Total characters | 800 |
|---|---|
| Distinct characters | 14 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 2 ? |
|---|---|
| Unique (%) | 1.0% |
Sample
| 1st row | four |
|---|---|
| 2nd row | four |
| 3rd row | six |
| 4th row | four |
| 5th row | five |
Common Values
| Value | Count | Frequency (%) |
| four | 159 | |
| six | 24 | 11.7% |
| five | 11 | 5.4% |
| eight | 5 | 2.4% |
| two | 4 | 2.0% |
| three | 1 | 0.5% |
| twelve | 1 | 0.5% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| four | 159 | |
| six | 24 | 11.7% |
| five | 11 | 5.4% |
| eight | 5 | 2.4% |
| two | 4 | 2.0% |
| three | 1 | 0.5% |
| twelve | 1 | 0.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| f | 170 | |
| o | 163 | |
| r | 160 | |
| u | 159 | |
| i | 40 | 5.0% |
| s | 24 | 3.0% |
| x | 24 | 3.0% |
| e | 20 | 2.5% |
| v | 12 | 1.5% |
| t | 11 | 1.4% |
| Other values (4) | 17 | 2.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 800 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| f | 170 | |
| o | 163 | |
| r | 160 | |
| u | 159 | |
| i | 40 | 5.0% |
| s | 24 | 3.0% |
| x | 24 | 3.0% |
| e | 20 | 2.5% |
| v | 12 | 1.5% |
| t | 11 | 1.4% |
| Other values (4) | 17 | 2.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 800 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| f | 170 | |
| o | 163 | |
| r | 160 | |
| u | 159 | |
| i | 40 | 5.0% |
| s | 24 | 3.0% |
| x | 24 | 3.0% |
| e | 20 | 2.5% |
| v | 12 | 1.5% |
| t | 11 | 1.4% |
| Other values (4) | 17 | 2.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 800 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| f | 170 | |
| o | 163 | |
| r | 160 | |
| u | 159 | |
| i | 40 | 5.0% |
| s | 24 | 3.0% |
| x | 24 | 3.0% |
| e | 20 | 2.5% |
| v | 12 | 1.5% |
| t | 11 | 1.4% |
| Other values (4) | 17 | 2.1% |
enginesize
Real number (ℝ)
| Distinct | 44 |
|---|---|
| Distinct (%) | 21.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 126.90732 |
| Minimum | 61 |
|---|---|
| Maximum | 326 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.7 KiB |
Quantile statistics
| Minimum | 61 |
|---|---|
| 5-th percentile | 90 |
| Q1 | 97 |
| median | 120 |
| Q3 | 141 |
| 95-th percentile | 201.2 |
| Maximum | 326 |
| Range | 265 |
| Interquartile range (IQR) | 44 |
Descriptive statistics
| Standard deviation | 41.642693 |
|---|---|
| Coefficient of variation (CV) | 0.32813469 |
| Kurtosis | 5.3056821 |
| Mean | 126.90732 |
| Median Absolute Deviation (MAD) | 23 |
| Skewness | 1.947655 |
| Sum | 26016 |
| Variance | 1734.1139 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=44)
| Value | Count | Frequency (%) |
| 122 | 15 | 7.3% |
| 92 | 15 | 7.3% |
| 97 | 14 | 6.8% |
| 98 | 14 | 6.8% |
| 108 | 13 | 6.3% |
| 90 | 12 | 5.9% |
| 110 | 12 | 5.9% |
| 109 | 8 | 3.9% |
| 120 | 7 | 3.4% |
| 141 | 7 | 3.4% |
| Other values (34) | 88 |
| Value | Count | Frequency (%) |
| 61 | 1 | 0.5% |
| 70 | 3 | 1.5% |
| 79 | 1 | 0.5% |
| 80 | 1 | 0.5% |
| 90 | 12 | |
| 91 | 5 | 2.4% |
| 92 | 15 | |
| 97 | 14 | |
| 98 | 14 | |
| 103 | 1 | 0.5% |
| Value | Count | Frequency (%) |
| 326 | 1 | 0.5% |
| 308 | 1 | 0.5% |
| 304 | 1 | 0.5% |
| 258 | 2 | 1.0% |
| 234 | 2 | 1.0% |
| 209 | 3 | |
| 203 | 1 | 0.5% |
| 194 | 3 | |
| 183 | 4 | |
| 181 | 6 |
fuelsystem
Categorical
| Distinct | 8 |
|---|---|
| Distinct (%) | 3.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.7 KiB |
| mpfi | |
|---|---|
| 2bbl | |
| idi | |
| 1bbl | |
| spdi | 9 |
| Other values (3) | 5 |
Length
| Max length | 4 |
|---|---|
| Median length | 4 |
| Mean length | 3.897561 |
| Min length | 3 |
Characters and Unicode
| Total characters | 799 |
|---|---|
| Distinct characters | 11 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 2 ? |
|---|---|
| Unique (%) | 1.0% |
Sample
| 1st row | mpfi |
|---|---|
| 2nd row | mpfi |
| 3rd row | mpfi |
| 4th row | mpfi |
| 5th row | mpfi |
Common Values
| Value | Count | Frequency (%) |
| mpfi | 94 | |
| 2bbl | 66 | |
| idi | 20 | 9.8% |
| 1bbl | 11 | 5.4% |
| spdi | 9 | 4.4% |
| 4bbl | 3 | 1.5% |
| mfi | 1 | 0.5% |
| spfi | 1 | 0.5% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| mpfi | 94 | |
| 2bbl | 66 | |
| idi | 20 | 9.8% |
| 1bbl | 11 | 5.4% |
| spdi | 9 | 4.4% |
| 4bbl | 3 | 1.5% |
| mfi | 1 | 0.5% |
| spfi | 1 | 0.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| b | 160 | |
| i | 145 | |
| p | 104 | |
| f | 96 | |
| m | 95 | |
| l | 80 | |
| 2 | 66 | |
| d | 29 | 3.6% |
| 1 | 11 | 1.4% |
| s | 10 | 1.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 799 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| b | 160 | |
| i | 145 | |
| p | 104 | |
| f | 96 | |
| m | 95 | |
| l | 80 | |
| 2 | 66 | |
| d | 29 | 3.6% |
| 1 | 11 | 1.4% |
| s | 10 | 1.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 799 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| b | 160 | |
| i | 145 | |
| p | 104 | |
| f | 96 | |
| m | 95 | |
| l | 80 | |
| 2 | 66 | |
| d | 29 | 3.6% |
| 1 | 11 | 1.4% |
| s | 10 | 1.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 799 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| b | 160 | |
| i | 145 | |
| p | 104 | |
| f | 96 | |
| m | 95 | |
| l | 80 | |
| 2 | 66 | |
| d | 29 | 3.6% |
| 1 | 11 | 1.4% |
| s | 10 | 1.3% |
boreratio
Real number (ℝ)
| Distinct | 38 |
|---|---|
| Distinct (%) | 18.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.3297561 |
| Minimum | 2.54 |
|---|---|
| Maximum | 3.94 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.7 KiB |
Quantile statistics
| Minimum | 2.54 |
|---|---|
| 5-th percentile | 2.97 |
| Q1 | 3.15 |
| median | 3.31 |
| Q3 | 3.58 |
| 95-th percentile | 3.78 |
| Maximum | 3.94 |
| Range | 1.4 |
| Interquartile range (IQR) | 0.43 |
Descriptive statistics
| Standard deviation | 0.27084371 |
|---|---|
| Coefficient of variation (CV) | 0.081340404 |
| Kurtosis | -0.78504183 |
| Mean | 3.3297561 |
| Median Absolute Deviation (MAD) | 0.26 |
| Skewness | 0.020156418 |
| Sum | 682.6 |
| Variance | 0.073356313 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=38)
| Value | Count | Frequency (%) |
| 3.62 | 23 | 11.2% |
| 3.19 | 20 | 9.8% |
| 3.15 | 15 | 7.3% |
| 3.03 | 12 | 5.9% |
| 2.97 | 12 | 5.9% |
| 3.46 | 9 | 4.4% |
| 3.31 | 8 | 3.9% |
| 3.43 | 8 | 3.9% |
| 3.78 | 8 | 3.9% |
| 3.27 | 7 | 3.4% |
| Other values (28) | 83 |
| Value | Count | Frequency (%) |
| 2.54 | 1 | 0.5% |
| 2.68 | 1 | 0.5% |
| 2.91 | 7 | |
| 2.92 | 1 | 0.5% |
| 2.97 | 12 | |
| 2.99 | 1 | 0.5% |
| 3.01 | 5 | |
| 3.03 | 12 | |
| 3.05 | 6 | |
| 3.08 | 1 | 0.5% |
| Value | Count | Frequency (%) |
| 3.94 | 2 | 1.0% |
| 3.8 | 2 | 1.0% |
| 3.78 | 8 | 3.9% |
| 3.76 | 1 | 0.5% |
| 3.74 | 3 | 1.5% |
| 3.7 | 5 | 2.4% |
| 3.63 | 2 | 1.0% |
| 3.62 | 23 | |
| 3.61 | 1 | 0.5% |
| 3.6 | 1 | 0.5% |
stroke
Real number (ℝ)
| Distinct | 37 |
|---|---|
| Distinct (%) | 18.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.2554146 |
| Minimum | 2.07 |
|---|---|
| Maximum | 4.17 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.7 KiB |
Quantile statistics
| Minimum | 2.07 |
|---|---|
| 5-th percentile | 2.64 |
| Q1 | 3.11 |
| median | 3.29 |
| Q3 | 3.41 |
| 95-th percentile | 3.64 |
| Maximum | 4.17 |
| Range | 2.1 |
| Interquartile range (IQR) | 0.3 |
Descriptive statistics
| Standard deviation | 0.31359701 |
|---|---|
| Coefficient of variation (CV) | 0.096330898 |
| Kurtosis | 2.1743964 |
| Mean | 3.2554146 |
| Median Absolute Deviation (MAD) | 0.14 |
| Skewness | -0.68970458 |
| Sum | 667.36 |
| Variance | 0.098343087 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=37)
| Value | Count | Frequency (%) |
| 3.4 | 20 | 9.8% |
| 3.23 | 14 | 6.8% |
| 3.15 | 14 | 6.8% |
| 3.03 | 14 | 6.8% |
| 3.39 | 13 | 6.3% |
| 2.64 | 11 | 5.4% |
| 3.29 | 9 | 4.4% |
| 3.35 | 9 | 4.4% |
| 3.46 | 8 | 3.9% |
| 3.11 | 6 | 2.9% |
| Other values (27) | 87 |
| Value | Count | Frequency (%) |
| 2.07 | 1 | 0.5% |
| 2.19 | 2 | 1.0% |
| 2.36 | 1 | 0.5% |
| 2.64 | 11 | |
| 2.68 | 2 | 1.0% |
| 2.76 | 1 | 0.5% |
| 2.8 | 2 | 1.0% |
| 2.87 | 1 | 0.5% |
| 2.9 | 3 | 1.5% |
| 3.03 | 14 |
| Value | Count | Frequency (%) |
| 4.17 | 2 | 1.0% |
| 3.9 | 3 | 1.5% |
| 3.86 | 4 | |
| 3.64 | 5 | |
| 3.58 | 6 | |
| 3.54 | 4 | |
| 3.52 | 5 | |
| 3.5 | 6 | |
| 3.47 | 4 | |
| 3.46 | 8 |
compressionratio
Real number (ℝ)
| Distinct | 32 |
|---|---|
| Distinct (%) | 15.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 10.142537 |
| Minimum | 7 |
|---|---|
| Maximum | 23 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.7 KiB |
Quantile statistics
| Minimum | 7 |
|---|---|
| 5-th percentile | 7.5 |
| Q1 | 8.6 |
| median | 9 |
| Q3 | 9.4 |
| 95-th percentile | 21.82 |
| Maximum | 23 |
| Range | 16 |
| Interquartile range (IQR) | 0.8 |
Descriptive statistics
| Standard deviation | 3.9720403 |
|---|---|
| Coefficient of variation (CV) | 0.39162199 |
| Kurtosis | 5.2330543 |
| Mean | 10.142537 |
| Median Absolute Deviation (MAD) | 0.4 |
| Skewness | 2.6108625 |
| Sum | 2079.22 |
| Variance | 15.777104 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=32)
| Value | Count | Frequency (%) |
| 9 | 46 | |
| 9.4 | 26 | |
| 8.5 | 14 | 6.8% |
| 9.5 | 13 | 6.3% |
| 9.3 | 11 | 5.4% |
| 8.7 | 9 | 4.4% |
| 8 | 8 | 3.9% |
| 9.2 | 8 | 3.9% |
| 7 | 7 | 3.4% |
| 8.6 | 5 | 2.4% |
| Other values (22) | 58 |
| Value | Count | Frequency (%) |
| 7 | 7 | |
| 7.5 | 5 | 2.4% |
| 7.6 | 4 | 2.0% |
| 7.7 | 2 | 1.0% |
| 7.8 | 1 | 0.5% |
| 8 | 8 | |
| 8.1 | 2 | 1.0% |
| 8.3 | 3 | 1.5% |
| 8.4 | 5 | 2.4% |
| 8.5 | 14 |
| Value | Count | Frequency (%) |
| 23 | 5 | |
| 22.7 | 1 | 0.5% |
| 22.5 | 3 | |
| 22 | 1 | 0.5% |
| 21.9 | 1 | 0.5% |
| 21.5 | 4 | |
| 21 | 5 | |
| 11.5 | 1 | 0.5% |
| 10.1 | 1 | 0.5% |
| 10 | 3 |
horsepower
Real number (ℝ)
| Distinct | 59 |
|---|---|
| Distinct (%) | 28.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 104.11707 |
| Minimum | 48 |
|---|---|
| Maximum | 288 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.7 KiB |
Quantile statistics
| Minimum | 48 |
|---|---|
| 5-th percentile | 62 |
| Q1 | 70 |
| median | 95 |
| Q3 | 116 |
| 95-th percentile | 180.8 |
| Maximum | 288 |
| Range | 240 |
| Interquartile range (IQR) | 46 |
Descriptive statistics
| Standard deviation | 39.544167 |
|---|---|
| Coefficient of variation (CV) | 0.37980483 |
| Kurtosis | 2.6840062 |
| Mean | 104.11707 |
| Median Absolute Deviation (MAD) | 25 |
| Skewness | 1.4053102 |
| Sum | 21344 |
| Variance | 1563.7411 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 68 | 19 | 9.3% |
| 70 | 11 | 5.4% |
| 69 | 10 | 4.9% |
| 116 | 9 | 4.4% |
| 110 | 8 | 3.9% |
| 95 | 7 | 3.4% |
| 114 | 6 | 2.9% |
| 160 | 6 | 2.9% |
| 101 | 6 | 2.9% |
| 62 | 6 | 2.9% |
| Other values (49) | 117 |
| Value | Count | Frequency (%) |
| 48 | 1 | 0.5% |
| 52 | 2 | 1.0% |
| 55 | 1 | 0.5% |
| 56 | 2 | 1.0% |
| 58 | 1 | 0.5% |
| 60 | 1 | 0.5% |
| 62 | 6 | 2.9% |
| 64 | 1 | 0.5% |
| 68 | 19 | |
| 69 | 10 |
| Value | Count | Frequency (%) |
| 288 | 1 | 0.5% |
| 262 | 1 | 0.5% |
| 207 | 3 | |
| 200 | 1 | 0.5% |
| 184 | 2 | |
| 182 | 3 | |
| 176 | 2 | |
| 175 | 1 | 0.5% |
| 162 | 2 | |
| 161 | 2 |
peakrpm
Real number (ℝ)
| Distinct | 23 |
|---|---|
| Distinct (%) | 11.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 5125.122 |
| Minimum | 4150 |
|---|---|
| Maximum | 6600 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.7 KiB |
Quantile statistics
| Minimum | 4150 |
|---|---|
| 5-th percentile | 4250 |
| Q1 | 4800 |
| median | 5200 |
| Q3 | 5500 |
| 95-th percentile | 5980 |
| Maximum | 6600 |
| Range | 2450 |
| Interquartile range (IQR) | 700 |
Descriptive statistics
| Standard deviation | 476.98564 |
|---|---|
| Coefficient of variation (CV) | 0.093068155 |
| Kurtosis | 0.086755856 |
| Mean | 5125.122 |
| Median Absolute Deviation (MAD) | 300 |
| Skewness | 0.075158722 |
| Sum | 1050650 |
| Variance | 227515.3 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=23)
| Value | Count | Frequency (%) |
| 5500 | 37 | |
| 4800 | 36 | |
| 5000 | 27 | |
| 5200 | 23 | |
| 5400 | 13 | 6.3% |
| 6000 | 9 | 4.4% |
| 4500 | 7 | 3.4% |
| 5800 | 7 | 3.4% |
| 5250 | 7 | 3.4% |
| 5100 | 5 | 2.4% |
| Other values (13) | 34 |
| Value | Count | Frequency (%) |
| 4150 | 5 | 2.4% |
| 4200 | 5 | 2.4% |
| 4250 | 3 | 1.5% |
| 4350 | 4 | 2.0% |
| 4400 | 3 | 1.5% |
| 4500 | 7 | 3.4% |
| 4650 | 1 | 0.5% |
| 4750 | 4 | 2.0% |
| 4800 | 36 | |
| 4900 | 1 | 0.5% |
| Value | Count | Frequency (%) |
| 6600 | 2 | 1.0% |
| 6000 | 9 | 4.4% |
| 5900 | 3 | 1.5% |
| 5800 | 7 | 3.4% |
| 5750 | 1 | 0.5% |
| 5600 | 1 | 0.5% |
| 5500 | 37 | |
| 5400 | 13 | 6.3% |
| 5300 | 1 | 0.5% |
| 5250 | 7 | 3.4% |
citympg
Real number (ℝ)
| Distinct | 29 |
|---|---|
| Distinct (%) | 14.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 25.219512 |
| Minimum | 13 |
|---|---|
| Maximum | 49 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.7 KiB |
Quantile statistics
| Minimum | 13 |
|---|---|
| 5-th percentile | 16 |
| Q1 | 19 |
| median | 24 |
| Q3 | 30 |
| 95-th percentile | 37 |
| Maximum | 49 |
| Range | 36 |
| Interquartile range (IQR) | 11 |
Descriptive statistics
| Standard deviation | 6.5421417 |
|---|---|
| Coefficient of variation (CV) | 0.25940794 |
| Kurtosis | 0.57864834 |
| Mean | 25.219512 |
| Median Absolute Deviation (MAD) | 5 |
| Skewness | 0.66370403 |
| Sum | 5170 |
| Variance | 42.799617 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=29)
| Value | Count | Frequency (%) |
| 31 | 28 | |
| 19 | 27 | |
| 24 | 22 | |
| 27 | 14 | 6.8% |
| 17 | 13 | 6.3% |
| 26 | 12 | 5.9% |
| 23 | 12 | 5.9% |
| 21 | 8 | 3.9% |
| 25 | 8 | 3.9% |
| 30 | 8 | 3.9% |
| Other values (19) | 53 |
| Value | Count | Frequency (%) |
| 13 | 1 | 0.5% |
| 14 | 2 | 1.0% |
| 15 | 3 | 1.5% |
| 16 | 6 | 2.9% |
| 17 | 13 | |
| 18 | 3 | 1.5% |
| 19 | 27 | |
| 20 | 3 | 1.5% |
| 21 | 8 | 3.9% |
| 22 | 4 | 2.0% |
| Value | Count | Frequency (%) |
| 49 | 1 | 0.5% |
| 47 | 1 | 0.5% |
| 45 | 1 | 0.5% |
| 38 | 7 | |
| 37 | 6 | |
| 36 | 1 | 0.5% |
| 35 | 1 | 0.5% |
| 34 | 1 | 0.5% |
| 33 | 1 | 0.5% |
| 32 | 1 | 0.5% |
highwaympg
Real number (ℝ)
| Distinct | 30 |
|---|---|
| Distinct (%) | 14.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 30.75122 |
| Minimum | 16 |
|---|---|
| Maximum | 54 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.7 KiB |
Quantile statistics
| Minimum | 16 |
|---|---|
| 5-th percentile | 22 |
| Q1 | 25 |
| median | 30 |
| Q3 | 34 |
| 95-th percentile | 42.8 |
| Maximum | 54 |
| Range | 38 |
| Interquartile range (IQR) | 9 |
Descriptive statistics
| Standard deviation | 6.8864431 |
|---|---|
| Coefficient of variation (CV) | 0.22394049 |
| Kurtosis | 0.44007038 |
| Mean | 30.75122 |
| Median Absolute Deviation (MAD) | 5 |
| Skewness | 0.53999719 |
| Sum | 6304 |
| Variance | 47.423099 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=30)
| Value | Count | Frequency (%) |
| 25 | 19 | 9.3% |
| 38 | 17 | 8.3% |
| 24 | 17 | 8.3% |
| 30 | 16 | 7.8% |
| 32 | 16 | 7.8% |
| 34 | 14 | 6.8% |
| 37 | 13 | 6.3% |
| 28 | 13 | 6.3% |
| 29 | 10 | 4.9% |
| 33 | 9 | 4.4% |
| Other values (20) | 61 |
| Value | Count | Frequency (%) |
| 16 | 2 | 1.0% |
| 17 | 1 | 0.5% |
| 18 | 2 | 1.0% |
| 19 | 2 | 1.0% |
| 20 | 2 | 1.0% |
| 22 | 8 | |
| 23 | 7 | 3.4% |
| 24 | 17 | |
| 25 | 19 | |
| 26 | 3 | 1.5% |
| Value | Count | Frequency (%) |
| 54 | 1 | 0.5% |
| 53 | 1 | 0.5% |
| 50 | 1 | 0.5% |
| 47 | 2 | 1.0% |
| 46 | 2 | 1.0% |
| 43 | 4 | 2.0% |
| 42 | 3 | 1.5% |
| 41 | 3 | 1.5% |
| 39 | 2 | 1.0% |
| 38 | 17 |
price
Real number (ℝ)
| Distinct | 189 |
|---|---|
| Distinct (%) | 92.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 13276.711 |
| Minimum | 5118 |
|---|---|
| Maximum | 45400 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.7 KiB |
Quantile statistics
| Minimum | 5118 |
|---|---|
| 5-th percentile | 6197 |
| Q1 | 7788 |
| median | 10295 |
| Q3 | 16503 |
| 95-th percentile | 32472.4 |
| Maximum | 45400 |
| Range | 40282 |
| Interquartile range (IQR) | 8715 |
Descriptive statistics
| Standard deviation | 7988.8523 |
|---|---|
| Coefficient of variation (CV) | 0.60171925 |
| Kurtosis | 3.0516479 |
| Mean | 13276.711 |
| Median Absolute Deviation (MAD) | 3306 |
| Skewness | 1.7776782 |
| Sum | 2721725.7 |
| Variance | 63821762 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 8921 | 2 | 1.0% |
| 9279 | 2 | 1.0% |
| 7898 | 2 | 1.0% |
| 8916.5 | 2 | 1.0% |
| 7775 | 2 | 1.0% |
| 8845 | 2 | 1.0% |
| 7295 | 2 | 1.0% |
| 7609 | 2 | 1.0% |
| 6692 | 2 | 1.0% |
| 6229 | 2 | 1.0% |
| Other values (179) | 185 |
| Value | Count | Frequency (%) |
| 5118 | 1 | |
| 5151 | 1 | |
| 5195 | 1 | |
| 5348 | 1 | |
| 5389 | 1 | |
| 5399 | 1 | |
| 5499 | 1 | |
| 5572 | 2 | |
| 6095 | 1 | |
| 6189 | 1 |
| Value | Count | Frequency (%) |
| 45400 | 1 | |
| 41315 | 1 | |
| 40960 | 1 | |
| 37028 | 1 | |
| 36880 | 1 | |
| 36000 | 1 | |
| 35550 | 1 | |
| 35056 | 1 | |
| 34184 | 1 | |
| 34028 | 1 |
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
| car_ID | symboling | CarName | fueltype | aspiration | doornumber | carbody | drivewheel | enginelocation | wheelbase | carlength | carwidth | carheight | curbweight | enginetype | cylindernumber | enginesize | fuelsystem | boreratio | stroke | compressionratio | horsepower | peakrpm | citympg | highwaympg | price | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1 | 3 | alfa-romero giulia | gas | std | two | convertible | rwd | front | 88.6 | 168.8 | 64.1 | 48.8 | 2548 | dohc | four | 130 | mpfi | 3.47 | 2.68 | 9.0 | 111 | 5000 | 21 | 27 | 13495.000 |
| 1 | 2 | 3 | alfa-romero stelvio | gas | std | two | convertible | rwd | front | 88.6 | 168.8 | 64.1 | 48.8 | 2548 | dohc | four | 130 | mpfi | 3.47 | 2.68 | 9.0 | 111 | 5000 | 21 | 27 | 16500.000 |
| 2 | 3 | 1 | alfa-romero Quadrifoglio | gas | std | two | hatchback | rwd | front | 94.5 | 171.2 | 65.5 | 52.4 | 2823 | ohcv | six | 152 | mpfi | 2.68 | 3.47 | 9.0 | 154 | 5000 | 19 | 26 | 16500.000 |
| 3 | 4 | 2 | audi 100 ls | gas | std | four | sedan | fwd | front | 99.8 | 176.6 | 66.2 | 54.3 | 2337 | ohc | four | 109 | mpfi | 3.19 | 3.40 | 10.0 | 102 | 5500 | 24 | 30 | 13950.000 |
| 4 | 5 | 2 | audi 100ls | gas | std | four | sedan | 4wd | front | 99.4 | 176.6 | 66.4 | 54.3 | 2824 | ohc | five | 136 | mpfi | 3.19 | 3.40 | 8.0 | 115 | 5500 | 18 | 22 | 17450.000 |
| 5 | 6 | 2 | audi fox | gas | std | two | sedan | fwd | front | 99.8 | 177.3 | 66.3 | 53.1 | 2507 | ohc | five | 136 | mpfi | 3.19 | 3.40 | 8.5 | 110 | 5500 | 19 | 25 | 15250.000 |
| 6 | 7 | 1 | audi 100ls | gas | std | four | sedan | fwd | front | 105.8 | 192.7 | 71.4 | 55.7 | 2844 | ohc | five | 136 | mpfi | 3.19 | 3.40 | 8.5 | 110 | 5500 | 19 | 25 | 17710.000 |
| 7 | 8 | 1 | audi 5000 | gas | std | four | wagon | fwd | front | 105.8 | 192.7 | 71.4 | 55.7 | 2954 | ohc | five | 136 | mpfi | 3.19 | 3.40 | 8.5 | 110 | 5500 | 19 | 25 | 18920.000 |
| 8 | 9 | 1 | audi 4000 | gas | turbo | four | sedan | fwd | front | 105.8 | 192.7 | 71.4 | 55.9 | 3086 | ohc | five | 131 | mpfi | 3.13 | 3.40 | 8.3 | 140 | 5500 | 17 | 20 | 23875.000 |
| 9 | 10 | 0 | audi 5000s (diesel) | gas | turbo | two | hatchback | 4wd | front | 99.5 | 178.2 | 67.9 | 52.0 | 3053 | ohc | five | 131 | mpfi | 3.13 | 3.40 | 7.0 | 160 | 5500 | 16 | 22 | 17859.167 |
| car_ID | symboling | CarName | fueltype | aspiration | doornumber | carbody | drivewheel | enginelocation | wheelbase | carlength | carwidth | carheight | curbweight | enginetype | cylindernumber | enginesize | fuelsystem | boreratio | stroke | compressionratio | horsepower | peakrpm | citympg | highwaympg | price | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 195 | 196 | -1 | volvo 144ea | gas | std | four | wagon | rwd | front | 104.3 | 188.8 | 67.2 | 57.5 | 3034 | ohc | four | 141 | mpfi | 3.78 | 3.15 | 9.5 | 114 | 5400 | 23 | 28 | 13415.0 |
| 196 | 197 | -2 | volvo 244dl | gas | std | four | sedan | rwd | front | 104.3 | 188.8 | 67.2 | 56.2 | 2935 | ohc | four | 141 | mpfi | 3.78 | 3.15 | 9.5 | 114 | 5400 | 24 | 28 | 15985.0 |
| 197 | 198 | -1 | volvo 245 | gas | std | four | wagon | rwd | front | 104.3 | 188.8 | 67.2 | 57.5 | 3042 | ohc | four | 141 | mpfi | 3.78 | 3.15 | 9.5 | 114 | 5400 | 24 | 28 | 16515.0 |
| 198 | 199 | -2 | volvo 264gl | gas | turbo | four | sedan | rwd | front | 104.3 | 188.8 | 67.2 | 56.2 | 3045 | ohc | four | 130 | mpfi | 3.62 | 3.15 | 7.5 | 162 | 5100 | 17 | 22 | 18420.0 |
| 199 | 200 | -1 | volvo diesel | gas | turbo | four | wagon | rwd | front | 104.3 | 188.8 | 67.2 | 57.5 | 3157 | ohc | four | 130 | mpfi | 3.62 | 3.15 | 7.5 | 162 | 5100 | 17 | 22 | 18950.0 |
| 200 | 201 | -1 | volvo 145e (sw) | gas | std | four | sedan | rwd | front | 109.1 | 188.8 | 68.9 | 55.5 | 2952 | ohc | four | 141 | mpfi | 3.78 | 3.15 | 9.5 | 114 | 5400 | 23 | 28 | 16845.0 |
| 201 | 202 | -1 | volvo 144ea | gas | turbo | four | sedan | rwd | front | 109.1 | 188.8 | 68.8 | 55.5 | 3049 | ohc | four | 141 | mpfi | 3.78 | 3.15 | 8.7 | 160 | 5300 | 19 | 25 | 19045.0 |
| 202 | 203 | -1 | volvo 244dl | gas | std | four | sedan | rwd | front | 109.1 | 188.8 | 68.9 | 55.5 | 3012 | ohcv | six | 173 | mpfi | 3.58 | 2.87 | 8.8 | 134 | 5500 | 18 | 23 | 21485.0 |
| 203 | 204 | -1 | volvo 246 | diesel | turbo | four | sedan | rwd | front | 109.1 | 188.8 | 68.9 | 55.5 | 3217 | ohc | six | 145 | idi | 3.01 | 3.40 | 23.0 | 106 | 4800 | 26 | 27 | 22470.0 |
| 204 | 205 | -1 | volvo 264gl | gas | turbo | four | sedan | rwd | front | 109.1 | 188.8 | 68.9 | 55.5 | 3062 | ohc | four | 141 | mpfi | 3.78 | 3.15 | 9.5 | 114 | 5400 | 19 | 25 | 22625.0 |